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SUMMARY:A Study of Bluetooth Low Energy Performance for Human Proximity De
 tection in the Workplace - Alessandro Montanari (University of Cambridge)
DTSTART:20170309T150000Z
DTEND:20170309T160000Z
UID:TALK70497@talks.cam.ac.uk
CONTACT:Liang Wang
DESCRIPTION:The ability to detect and distinguish interactions in the work
 place can shed light over productivity\, team work and on employees' use o
 f space. Questionnaires and direct observations have often been used as me
 chanisms to identify office based interactions\, however\, these are eithe
 r very time consuming\, yield coarse grained information or do not scale t
 o large numbers of people. Technology has been recently employed to cut co
 sts and improve output\, however precise interaction dynamics gathering of
 ten requires individuals to wear custom hardware.\nIn this talk\, we prese
 nt an extensive evaluation of Bluetooth Low Energy (BLE) as a technology t
 o monitor people proximity in the workplace. We examine the key parameters
  that affect the accuracy of the detected contacts and their impact on pow
 er consumption. We study how this system can be implemented on popular wea
 rable devices (i.e.\, Android Wear and Tizen) and the resulting limitation
 s. Through a real world deployment in a commercial organisation with 25 pa
 rticipants we evaluate the performances of a BLE-based proximity detection
  technique.\n\nOur results show the suitability of BLE for workplace inter
 action detection and give guidance to vendors and Operating System (OS) de
 velopers on the impact of the restrictions regarding the use of BLE on com
 modity wearables.
LOCATION:FW26\, Computer Laboratory\, William Gates Building
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